http://hdl.handle.net/11422/18 Tue, 07 Apr 2026 13:19:44 GMT 2026-04-07T13:19:44Z http://hdl.handle.net/11422/28742 Title: Análise de sensibilidade de um método expedito para avaliação dos esforços de tração em linhas de ancoragem Author(s)/Inventor(s): Ribeiro, Caio Lucas Nascimento Advisor: Sagrilo, Luis Volnei Sudati Abstract: Recently, accidents in floating units caused by structural failure of mooring lines have drawn the attention of the oil and gas industry. These events have significantly increased the need for continuous monitoring of the structural integrity of mooring lines, which has fueled the demand for reliable and computationally inexpensive methods for obtaining the tension responses over time in these lines. Among the various methods available for obtaining these time series, two stand out as the most common: the first is a quasi-static approach, which consists of a simplified analysis using only the catenary equation; and the second, through the Finite Element Method (FEM), using tri-dimensions non-linear bar elements. The catenary equation is commonly used for evaluating tension in cables due to its low computational cost. However, this method does not consider the effects of damping and inertia in the lines. On the other hand, the FEM considers the effects of damping and inertia to obtain the forces over time but has a higher computational cost. This work aims to investigate the use of a method that combines high accuracy with low computational cost, thus providing a reliable and computationally inexpensive evaluation of the tension response of mooring lines. Publisher: Universidade Federal do Rio de Janeiro Type: Dissertação Sat, 01 Jun 2024 00:00:00 GMT http://hdl.handle.net/11422/28742 2024-06-01T00:00:00Z http://hdl.handle.net/11422/28741 Title: Caracterização faciológica de rochas carbonáticas e suas classes texturais em imagens de tomografia computadorizada associadas ao sistema permoporoso: uma abordagem aplicada às rochas do Pré-sal da Bacia de Santos Author(s)/Inventor(s): Barboza, Ana Carolina Carius Lisboa Advisor: Landau, Luiz Abstract: The Santos Basin holds significant economic potential due to the extensive carbonate reservoirs of lacustrine origin in the Pre-salt. However, uncertainties persist regarding the lacustrine carbonate rocks of the Brazilian Pre-salt, due to the lack of analogous outcrops and the variability caused by diagenetic processes. Identifying the main lithological deposits, recognizing textural attributes in X-ray computed tomography (CT) images, and understanding the permoporous system of these rocks are geologically intriguing challenges. This research aims to define the main textures through CT images of lacustrine carbonate rock cores from the Barra Velha Formation in an oil field in the Santos Basin, and to understand the permoporosity behavior of each textural class to identify potential reservoirs. The methodology involved four stages: detailed geological characterization, permoporosity characterization, definition of the main textures in CT images, and analysis of the relationship between textures, lithofacies, and permo-porous systems. Six lithofacies and a textural classification with four classes were identified: laminated, bushy, nodular, and recrystallized, with a direct influence of advanced diagenetic processes on two textures and their permo-porous systems. This textural classification of lacustrine carbonate rocks from the Barra Velha Formation is effective in identifying features of interest for reservoirs and can be used by a specialist technician as a basis for training machine learning algorithms. Publisher: Universidade Federal do Rio de Janeiro Type: Tese Mon, 01 Apr 2024 00:00:00 GMT http://hdl.handle.net/11422/28741 2024-04-01T00:00:00Z http://hdl.handle.net/11422/28740 Title: Lógica Fuzzy aplicada à análise comportamental e conhecimento da guerra cognitiva em redes sociais: um modelo de extração e mineração de dados Author(s)/Inventor(s): Ferreira, Vinícius Marques da Silva Advisor: Cosenza, Carlos Alberto Nunes Abstract: The research aims to understand how behavior, emotion and subjectivity participate in the construction of a conflict or polarization of ideas as an instrument of Cognitive Warfare in social networks, between actors or groups of actors, for example on the Twitter and Facebook platform, through the application of computational methods or models that work on subjectivity between them, using algorithms based on machine learning. The sentiment of the actors' dialogues on the subject addressed in terms of the polarity of the content, classifying opinions, for example whether they are positive or neutral or negative, is also analyzed. We will use text mining and sentiment analysis techniques. The aim is to develop and present a text processing and analysis system that optimizes the identification of polarizing ideas and improves multi-criteria decision making within diverse contexts on social networks, taking into account feelings and emotions. The approach consists of identifying and collecting the opinions of Twitter users on certain subjects, in the effervescence of events surrounding the issues listed. Text mining and sentiment analysis techniques are applied to extract qualifiers from the data analyzed. In addition, we developed a data visualization system that relies on the parameterization of value ranges for colors. Our data suggests what is already known in the light of psycholinguistics: when humans express themselves, they can reveal a variety of emotions that they experience internally and that inspire their subjective experience, their actions and their communication. Publisher: Universidade Federal do Rio de Janeiro Type: Tese Sat, 01 Jun 2024 00:00:00 GMT http://hdl.handle.net/11422/28740 2024-06-01T00:00:00Z http://hdl.handle.net/11422/28739 Title: Falhas, causas e efeitos na comunicação de massa radiofônica, um estudo de caso de Engenharia de Produção na Super Rádio Tupi do Rio de Janeiro: uma aplicação Fuzzy Author(s)/Inventor(s): Barbosa, Sílvio Advisor: Cosenza, Carlos Alberto Nunes Abstract: The mass communication industry is constantly transforming, directly affecting radio stations and requiring effective management to ensure their survival and competitiveness. This study, focused on Super Rádio Tupi FM in Rio de Janeiro, one of the most traditional and influential in the country, identified and prioritized 38 failure factors, considering digital media such as WhatsApp, Facebook, X (formerly Twitter), and YouTube. Based on the 8M tool, known as the Cause and Effect Diagram, and using a fuzzy model developed and applied with the participation of 19 experts with extensive experience in broadcasting, activities from pre-production to post-production were analyzed. This study not only expands knowledge on radio activities but also offers significant practical and academic contributions by introducing a fuzzy modeling approach to broadcasting services, particularly in terms of identifying and mitigating failures in this productive environment. Publisher: Universidade Federal do Rio de Janeiro Type: Tese Mon, 01 Apr 2024 00:00:00 GMT http://hdl.handle.net/11422/28739 2024-04-01T00:00:00Z